This
article
analyzes
the
trends
and
challenges
in
development
of
software
architectures
for
efficient
management
large
volumes
data,
addressing
approaches
such
as
Data
Mesh,
Fabric
microservices-based
architectures.
The
main
obstacles
their
implementation
are
identified,
lack
interoperability,
security
risks
high
adoption
costs.
Methodologically,
an
exploratory
research
based
on
a
literature
review
sources
indexed
Scopus
Web
Science
is
used,
allowing
critical
synthesis
most
relevant
architectural
models.
results
highlight
that
data
decentralization
improves
system
scalability
flexibility,
while
microservices
optimize
modularity
technological
integration.
Also,
artificial
intelligence
has
demonstrated
significant
impact
advanced
analytics
decision
making.
discussion
highlights
that,
despite
benefits
these
architectures,
related
to
compatibility,
cybersecurity
economic
investment
still
persist.
In
conclusion,
evolution
models
remains
key
digital
transformation,
requiring
strategies
facilitate
sustainable
various
sectors
The
integration
of
digital
technologies
in
educational
environments
represents
a
challenge
and
an
opportunity
to
improve
teaching
learning
processes.
This
study
analyzes,
through
literature
review,
innovative
pedagogical
strategies
environments,
focusing
on
the
challenges,
opportunities
proposals
for
their
implementation.
methodology
included
systematic
search
Scopus
complementary
sources,
selecting
542
papers
published
between
2019
2024.
results
highlight
positive
impact
such
as
flipped
classroom
project-based
learning,
which
promote
active
personalized
learning.
Likewise,
tools
artificial
intelligence
augmented
reality
have
been
shown
academic
performance,
motivation
student
engagement.
However,
divide
resistance
change
part
teachers
institutions
limit
adoption,
requiring
continuous
teacher
training
inclusive
public
policies.
In
conclusion,
innovation
requires
combination
training,
technological
investment
cultural
ensure
more
equitable
education
adapted
needs
21st
century.
Revista Científica Zambos.,
Journal Year:
2025,
Volume and Issue:
4(1), P. 191 - 204
Published: Jan. 31, 2025
The
implementation
of
artificial
intelligence
(AI)
in
the
management
educational
centers
implies
a
transformation
academic
and
administrative
management.
This
study,
based
on
literature
review,
analyzes
its
applications,
benefits
challenges.
AI
automates
tasks
such
as
enrollment
scheduling,
allowing
managers
to
focus
strategic
issues.
In
addition,
real-time
data
analysis
improves
decision
making
key
indicators,
while
personalization
learning
responds
individual
needs
learners,
increasing
their
motivation
performance.
However,
adoption
faces
challenges
high
technological
costs,
lack
digital
training
for
staff,
need
clear
regulations
ensure
ethical
use.
Also,
privacy
security
risks
highlight
importance
robust
protocols.
It
is
concluded
that
has
potential
transform
education,
provided
associated
technical
are
adequately
addressed.
Increasing
pressure
on
water
resources,
exacerbated
by
climate
change,
calls
for
sustainable
solutions
in
agriculture.
This
study
analyzes
smart
irrigation
technologies,
which
combine
advanced
sensors,
automation
and
real-time
data
analysis,
as
key
tools
to
optimize
use.
Through
a
literature
review,
their
main
benefits
were
identified,
including
the
reduction
of
consumption
up
30%,
precision
application
according
specific
crop
needs,
reduced
evaporation
losses.
However,
significant
barriers
remain,
such
high
upfront
costs
reliance
digital
infrastructure,
limit
adoption,
especially
among
smallholder
farmers.
Suggested
strategies
include
government
incentives,
accessible
technical
training,
promotion
more
affordable
technologies.
In
conclusion,
technologies
not
only
improve
sustainability
agricultural
productivity,
but
also
contribute
global
food
security.
effective
implementation
requires
comprehensive
approach
that
combines
financial,
educational
technological
support
ensure
accessibility
success
diverse
contexts.
In
the
digital
era,
personal
data
protection
faces
significant
challenges
due
to
rapid
technological
evolution
and
lack
of
effective
legal
regulations.
This
study
analyzes
issues,
aggravating
factors
possible
solutions
improve
protection.
Using
an
exploratory
approach
based
on
a
literature
review,
relevant
sources
were
collected
from
academic
databases,
analyzed
systematized
into
thematic
categories.
The
results
show
that
current
regulations
are
insufficient
address
emerging
technologies
such
as
artificial
intelligence
big
data,
international
harmonization
face
limitations
in
supervision.
Factors
low
education
advancement
exacerbate
these
problems.
proposes
adoption
standards,
strengthening
regulatory
authorities
educational
programs
empower
citizens
businesses.
It
concludes
comprehensive
strategy
combining
measures
is
essential
anticipate
future
risks,
ensuring
privacy
security
global
digitized
context.
Artificial
intelligence
(AI)
is
transforming
traditional
automation
paradigms
in
key
sectors
by
optimizing
processes,
reducing
costs
and
improving
decision
making
through
big
data.
This
article
aims
to
analyze
the
emerging
trends
of
AI
automation,
assessing
its
impact
on
productivity,
sustainability
equity.
Through
a
literature
review
Scopus
database,
352
papers
published
between
2019
2023
were
selected.
Advanced
applications
such
as
natural
language
processing,
deep
neural
networks
digital
twins,
which
are
redefining
processes
manufacturing,
logistics,
health
finance,
identified.
The
results
show
remarkable
benefits,
early
disease
detection,
supply
chain
optimization
real-time
financial
fraud
detection.
However,
significant
challenges
also
arise,
labor
displacement,
data
privacy
algorithmic
biases,
demand
strong
regulatory
frameworks
inclusive
retraining
strategies.
In
conclusion,
represents
tool
for
transformation,
but
implementation
must
be
accompanied
ethical
governance
ensure
equitable
access
benefits.
Security
and
privacy
in
distributed
information
systems
represent
a
growing
challenge
due
to
the
decentralization
of
data
increase
cyber-attacks.
This
study
analyzes
threats,
mitigation
strategies,
future
challenges
protecting
data.
Through
systematic
literature
review,
risks
such
as
ransomware,
phishing
DDoS
attacks,
well
vulnerabilities
interoperability
hybrid
cloud
were
identified.
Mitigation
strategies
include
encryption,
multi-factor
authentication
artificial
intelligence-based
monitoring.
It
is
recognized
that
lack
globally
homogeneous
regulations
hinders
implementation
unified
security
policies,
while
adoption
emerging
technologies,
blockchain
quantum
computing,
offers
promising
solutions.
However,
cybersecurity
awareness
training
remains
significant
obstacle.
concluded
protection
requires
holistic
approach
combines
appropriate
regulations,
technological
innovation
continuous
strengthen
resilience
digital
infrastructures.
Este
libro
refleja
el
trabajo
realizado
bajo
investigación
entre
docentes
investigadores
con
afán
de
que
sea
útil
al
lector,
uso
predicciones
momento
entrenar
un
algoritmo
clasificado
texto
en
procesamiento
lenguaje
natural
(PLN)
basado
machine
learning.
Conformado
4
capítulos
la
utilidad
para
inicio
mundo
IA
rama
Python
El
Capítulo
1
menciona
conceptos
y
evolución
las
diferentes
ramas
conocimiento
abarca
inteligencia
artificial
(AI),
entendimiento
del
NLP,
learning,
tipos
aprendizaje
resolver
problemas
como
supervisado,
no
supervisado
refuerzo.
2
se
profundiza
NLP
conociendo
los
contenidos
básicos
clasificación
como:
Las
técnicas
diseño
LSTM,
tokeización,
stopword,
lematización,
bag
of
Word
(part
speech
tagging).
3
es
estructuración
este
capítulo
conocer
definiciones
modelos
son
útiles
orientado
a
texto.
caso
predicción
o
grado
asertividad
modelamiento
algoritmo,
intención
demostrar
utilización
modelo
varias
aplicando
South Florida Journal of Development,
Journal Year:
2024,
Volume and Issue:
5(7), P. e4184 - e4184
Published: July 24, 2024
La
investigación
bibliográfica
sobre
"La
inteligencia
artificial
y
su
incidencia
en
la
educación:
un
análisis
desde
rol
transformador"
analiza
cómo
(IA)
está
transformando
el
campo
educativo.
IA
se
presenta
como
una
herramienta
poderosa
para
mejorar
calidad
de
educación,
personalizar
aprendizaje
aumentar
eficiencia
los
procesos
educativos.
El
estudio
destaca
que
educación
puede
facilitar
adaptación
contenidos
educativos
a
las
necesidades
específicas
cada
estudiante,
permitiendo
más
efectivo
significativo.
Además,
ayudar
docentes
evaluación
del
progreso
estudiantes,
identificando
áreas
mejora
proporcionando
retroalimentación
personalizada.
Sin
embargo,
también
señalan
posibles
desafíos
riesgos
asociados
con
implementación
privacidad
datos,
equidad
acceso
tecnología
posible
reemplazo
profesores
por
sistemas
automatizados.
En
definitiva,
recalca
tiene
potencial
transformar
radicalmente
pero
plantea
importantes
deben
ser
abordados
garantizar
utilice
manera
ética
equitativa.
The
paper
analyzes
the
impact
of
artificial
intelligence
(AI)
on
accounting
processes,
highlighting
both
opportunities
and
challenges
associated
with
its
implementation.
From
a
bibliographic
perspective,
it
describes
benefits
such
as
automation
repetitive
tasks,
error
reduction,
improved
predictive
analytics
fraud
detection.
In
addition,
points
out
how
AI
transforms
accountant's
profile
towards
strategic
analytical
roles.
However,
study
highlights
important
limitations,
need
for
specialized
training
risks
in
security
privacy
financial
data.
methodology
used
combines
an
exhaustive
analysis
recent
academic
literature,
prioritizing
studies
indexed
databases
Scopus
WoS,
qualitative
approach
to
identify
patterns
knowledge
gaps.
article
concludes
that
while
promises
revolutionize
accounting,
adoption
requires
investments
training,
technological
infrastructures
robust
cybersecurity
policies.
It
also
emphasizes
importance
ethical
collaborative
ensure
balanced
sustainable
integration.
This
work
serves
basis
future
research
strategies
maximize
potential
accounting.
Digital
transformation
is
revolutionizing
modern
management,
being
a
key
factor
to
improve
organizational
competitiveness
in
dynamic
environment.
This
article
analyzes,
through
literature
review,
the
strategies
and
technological
tools
that
organizations
adopt
integrate
advanced
technologies
such
as
artificial
intelligence,
IoT
ERP
CRM
systems
into
their
operations.
The
study
identifies
resistance
change,
lack
of
digital
skills
associated
costs,
particularly
SMEs,
challenges.
leadership
strategic
planning
emerge
essential
elements
align
objectives
with
digitization,
enabling
effective
use
these
tools.
results
highlight
proper
implementation
not
only
optimizes
internal
processes
but
also
drives
innovation
long-term
sustainability.
research
concludes
must
be
addressed
holistic
approach,
integrating
tools,
adaptive
commitment
overcome
barriers
seize
opportunities
an
increasingly
digitized
market.